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» Textural Features and Relevance Feedback for Image Retrieval
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CBMS
2003
IEEE
15 years 5 months ago
MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations
This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features a...
Agma J. M. Traina, César A. B. Castañ...
SPIESR
2001
164views Database» more  SPIESR 2001»
15 years 1 months ago
Content-based image retrieval using wavelet-based salient points
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...
CIKM
2009
Springer
15 years 6 months ago
Exploring relevance for clicks
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
Rongwei Cen, Yiqun Liu, Min Zhang, Bo Zhou, Liyun ...
SETN
2004
Springer
15 years 5 months ago
An Intelligent System for Aerial Image Retrieval and Classification
Content based image retrieval is an active research area of pattern recognition. A new method of extracting global texture energy descriptors is proposed and it is combined with fe...
Antonios Gasteratos, Panagiotis Zafeiridis, Ioanni...
SSIAI
2000
IEEE
15 years 4 months ago
Content Based Retrieval for Remotely Sensed Imagery
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
Badrinarayan Raghunathan, Scott T. Acton